@inproceedings{c02f5c10a852423694ae8f511c5ef874,
title = "Teichm{\"u}ller shape space theory and its application to brain morphometry",
abstract = "Here we propose a novel method to compute Teichm{\"u}ller shape space based shape index to study brain morphometry. Such a shape index is intrinsic, and invariant under conformal transformations, rigid motions and scaling. We conformally map a genus-zero open boundary surface to the Poincar{\'e} disk with the Yamabe flow method. The shape indices that we compute are the lengths of a special set of geodesics under hyperbolic metric. Tests on longitudinal brain imaging data were used to demonstrate the stability of the derived feature vectors. In leave-one-out validation tests, we achieved 100% accurate classification (versus only 68% accuracy for volume measures) in distinguishing 11 HIV/AIDS individuals from 8 healthy control subjects, based on Teichm{\"u}ller coordinates for lateral ventricular surfaces extracted from their 3D MRI scans.",
author = "Yalin Wang and Wei Dai and Xianfeng Gu and Chan, {Tony F.} and Yau, {Shing Tung} and Toga, {Arthur W.} and Thompson, {Paul M.}",
year = "2009",
doi = "10.1007/978-3-642-04271-3_17",
language = "English (US)",
isbn = "3642042708",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "133--140",
booktitle = "Medical Image Computing and Computer-Assisted Intervention - MICCAI2009 - 12th International Conference, Proceedings",
edition = "PART 2",
note = "12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009 ; Conference date: 20-09-2009 Through 24-09-2009",
}
